开放式数控切割机神经网络误差补偿研究

Study on Error Compensation for Open CNC Cutting Machine Based on Neural Network

  • 摘要: 分析了影响数控火焰切割机加工精度的主要因素,利用开放式数控系统的软件开放性,提出了采用IGCAQBP学习算法的神经网络方法来对包括金属热变形、机械传动误差等非线性因素在内的多种因素造成的加工误差进行误差补偿,设计了嵌入开放式数控系统中的神经网络误差补偿器,给出了实用的补偿器使用方法,并对误差补偿功能进行了扩展,仿真结果和实际应用表明该方法稳定有效。

     

    Abstract: The major factors that contribute the working accuracy of flame cutting machine ard considered. By using the opening characteristic of software in open Computer Numerical Control (CNC) system, this paper gives a neural network method based on IGCAQBP learning algorithm to improve working accuracy. Error compensation unit based on neural network is designed and the applied error compensation function of open CNC is extended. The simulation result and the practical application indicate that this method is effective and stable.

     

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